"vscode:/vscode.git/clone" did not exist on "2d493d6a945cfaab8e72f0aa4be57db7264c64e0"
- 12 Aug, 2022 1 commit
-
-
Andrey Talman authored
* Testing conda metapackage * Testing * Testing pytorch-cuda * Testing * Testing * Testing * Testing * Testing * Using new metapackage * Testing * Simplifing logic * Further simplifying
-
- 26 Jul, 2022 1 commit
-
-
Eli Uriegas authored
Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
-
- 20 Jun, 2022 1 commit
-
-
Andrey Talman authored
-
- 09 Jun, 2022 1 commit
-
-
Andrey Talman authored
* Adding tagged builds * Testing * Testing * Testing * Testing * Adding conda builds
-
- 02 Jun, 2022 1 commit
-
-
Nikita Shulga authored
* [BE] Unify version computation Instead of hardcoding dev version in various script, use one from `version.txt` if `setup_build_version` is called without arguments Also, pass `--pre` option to M1 build/test pip install commands to build TorchVision against nightly pytorch * Pin torchvision dependency to a specific pytorch version
-
- 09 May, 2022 1 commit
-
-
Andrey Talman authored
-
- 21 Apr, 2022 1 commit
-
-
Andrey Talman authored
Co-authored-by:
Nikita Shulga <nshulga@fb.com> Co-authored-by:
-
- 20 Feb, 2022 1 commit
-
-
Nikita Shulga authored
* Add Python-3.10 (build and test) * Fix functional.adjust_gamma Co-authored-by:
Joao Gomes <joaopsgomes@gmail.com>
-
- 07 Jan, 2022 1 commit
-
-
Vasilis Vryniotis authored
-
- 09 Dec, 2021 1 commit
-
-
Andrey Talman authored
* Add CUDA-11.5 builds to torchvision * Try to fix cudatoolkit issue * Trying to use cuda11.5 instead of the toolkit * Trying to rollback last two changes * Testing * Using conda-forge only for cuda115 builds * Fix typo
-
- 16 Nov, 2021 1 commit
-
-
Nikita Shulga authored
Cherry-pick pkg_helper changes from https://github.com/pytorch/audio/commit/0f8443050bd6ce402f939ef6876fccf1a2dacf16 (#4944) Add CUDA_HOME to PATH to fix Cmake builds Define `FORCE_CUDA` only when CUDA_PATH is present (or if RocM)
-
- 20 Oct, 2021 1 commit
-
-
Nikita Shulga authored
* Move TorchVision conda package to use pytorch-mutex This is follow up after https://github.com/pytorch/builder/pull/823 that gets rids of `feature` and migrate it to `run_constrained` * Update packaging/torchvision/meta.yaml Co-authored-by:
Eli Uriegas <1700823+seemethere@users.noreply.github.com> * Update packaging/torchvision/meta.yaml Co-authored-by:
-
- 06 Aug, 2021 1 commit
-
-
Nikita Shulga authored
* Add CUDA-11.3 builds to torchvision Also mark `.cicrleci/config.yml` as autogenerated in `.gitattributes` * Add CUDA-11.3 install steps for Windows * And here as well
-
- 09 Jul, 2021 1 commit
-
-
Nikita Shulga authored
* Do not install lame when building torchvision It is needed only for ffmpeg integration, which is disabled anyway * Also upgrade setuptool To update pkg_resources.packaging to version 20.0+
-
- 21 Jun, 2021 1 commit
-
-
Eli Uriegas authored
-
- 15 Jun, 2021 1 commit
-
-
Eli Uriegas authored
* packaging: Remove special versioning priveleges Adds a version suffix for CUDA 10.2 for ease of installing when installing from download.pytorch.org Signed-off-by:
Eli Uriegas <eliuriegas@fb.com> * also include windows cmath fix Signed-off-by:
-
- 30 Mar, 2021 1 commit
-
-
Nicolas Hug authored
* trying stuff * Put flags back? * remove second one just to see * It worked but it's because it's not built by CI. Trying another one * Try using TORCH_CUDA_ARCH_LIST instead * oops * Add new env variable to build/script_env * set TORCH_CUDA_ARCH_LIST for the rest of the CUDA versions * don't pass NVCC_FLAGS venv to conda, let's see if it works Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
-
- 22 Mar, 2021 1 commit
-
-
Jeff Daily authored
* add ROCm binary wheels * fix lint error Co-authored-by:
-
- 22 Feb, 2021 1 commit
-
-
Eli Uriegas authored
-
- 12 Feb, 2021 1 commit
-
-
Eli Uriegas authored
(cherry picked from commit 2f40a483d73018ae6e1488a484c5927f2b309969) Signed-off-by:
-
- 25 Jan, 2021 1 commit
-
-
Vasilis Vryniotis authored
Co-authored-by:
-
- 27 Oct, 2020 1 commit
-
-
Eli Uriegas authored
This was a mistake since version suffix should always be appended Signed-off-by:
-
- 21 Oct, 2020 1 commit
-
-
moto authored
Co-authored-by:
-
- 16 Oct, 2020 1 commit
-
-
Eli Uriegas authored
ROCM builds were being picked up for CUDA 10.2 builds since they do not specify a version suffix. We can utilize the CU_VERSION to be specific about which index to actually pull from. Signed-off-by:
-
- 14 Oct, 2020 1 commit
-
-
Edgar Andrés Margffoy Tuay authored
* [DEBUG] Check wheel relocation issues * Call delocate on Mac * Use yum instead of conda * Do not copy ffmpeg dylibs * Linux dry run * Do not download FFmpeg on Mac * Install bzip2 * Restore FFmpeg on Windows * Remove ffmpeg temporarily * Do not remove dependencies * Disable FFmpeg temporarily on Linux wheels * Test relocation in Linux * Add docstring * Call relocation script * Minor error correction * Import auditwheel only on Linux * Restore ffmpeg again on Windows * Return *device * Try fix Windows * Fix clang-format * Start windows patchwork * Copy all DLLs * Disable FFmpeg on Windows for now * Bugfix Co-authored-by:
-
- 06 Oct, 2020 1 commit
-
-
Edgar Andrés Margffoy Tuay authored
* Add PyTorch FFmpeg to wheel and conda distributions * Try to install wget from conda * Add yq flag on Mac * Correct copy instructions * Use cURL on Windows * Call bzip2 directly due to msys2/MSYS2-packages#1548 * Copy ffmpeg binaries to system-wide directories * Try to use std:c++17 on Windows * Try to define ssize_t on Windows * Use C++14 * Declare AVRational structs explicitly * Initialize AVRational explicitly * Replace macro to prevent errors on Windows * Replace AV_TIME_BASE_Q * Add library paths for video extension * Force ffmpeg from pytorch channels? * Fix clang style warnings * Update CONDA_CHANNEL_FLAGS * Fix clang style issues * Update unittest * Use FFmpeg 4.2 * Install correct version on Mac * Pin av version to 8.0.0 * Fix string formatting issue * Fix pip pinning * Try with 8.0.1 * Use av 8.0.2 * Remove trailling whitespaces * Disable test_io_opt.py * Disable test_datasets_video_utils Co-authored-by:
-
- 14 Sep, 2020 2 commits
-
-
peterjc123 authored
-
Edgar Andrés Margffoy Tuay authored
* Add CMake build pipeline * Add CMake build workflow * Add executable permissions to script * Install cmake on Windows/MacOS * Install conda-build before setting up MSVC * Install PyTorch from nightly * Do not use conda-build variables * Add path to CMake * Install libpng and libjpeg * Perform make * Call msbuild on Windows * Add missing yq * Use vc_env_helper * Use string instruction * Escape configuration option * Remove configuration flag * Try to pass -p * Use caret to escape equal sign * Escape string option in Windows * Try to call other bat * Remove Windows/GPU CMake * Add tracing cpp test * Script model instead of tracing it * Try to register operators manually * Use manylinux-cuda102 * Activate conda env on Linux * Build and run sample tracing test * Add empty echo * Remove unnecessary register * Copy headers on Mac * Revert to 2xlarge * Include /usr/local/include on Mac * Install pillow on Windows * Install future * Install torchvision on Windows * Set include flag * Add torchlib to PATH * Normalize path via cygpath * Register ops on Windows * Minor error correction * Register CPU/GPU ops on DLL library and register ops via reference * Install dataclasses * Install dataclasses using pip * Address clang formatting issue * Try to use an actual GPU instance on Linux * Remove extra environment section * Declare environment explicitly * Regenerate * Pass env variables to Dokcer * Regenerate circleci * Test tracing on GPU * Use GPU medium * Regenerate * Use cuda101 * Regenerate * Do not use pre-trained weights Avoids having to download pretrained files, which could cause flaky tests Co-authored-by:
-
- 08 Jul, 2020 1 commit
-
-
Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Enable JPEG support using libjpeg directly * Install libjpeg-turbo8 on Travis * Fix styling issues * Do not append to paths if library found in standard library locations * Add macro flag * Use custom error handler * Use 3? * Use short-lived buffer * Return TRUE instead of true * Assert RuntimeError * Use .jpg extension * Remove conda-forge * Use data_ptr instead of accessor * Use assertTrue for jpeg verification * Remove unnecessary memcpy * Debug test on Windows * Remove PIL from jpeg verification Co-authored-by:Ryad ZENINE <r.zenine@gmail.com>
-
- 03 Jul, 2020 1 commit
-
-
Francisco Massa authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README * Fix image extension tests * Add libpng to environment + test fixes * Minor improvements * Remove unused Py2 code * Add stub comments to prevent deletion while merging * Reintroduce files in order to prevent deletion during merge * Remove unwanted merge sections * Restore libpng conda installation on wheel distributions * Restore comment * Fix libpng discovery on Windows * Fix PEP8 style issues * Add linking flag on Windows * Remove parenthesis * Restore libpng during runtime Co-authored-by:
Edgar Andrés Margffoy Tuay <andfoy@gmail.com> Co-authored-by:
-
- 02 Jul, 2020 2 commits
-
-
Francisco Massa authored
This reverts commit c1a99b7b.
-
Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README Co-authored-by:
-
- 01 Jul, 2020 1 commit
-
-
Edgar Andrés Margffoy Tuay authored
This reverts commit 766721b1.
-
- 30 Jun, 2020 1 commit
-
-
Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 Co-authored-by:
-
- 29 Jun, 2020 1 commit
-
-
Eli Uriegas authored
* .circleci: Add workflows to run on tag Signed-off-by:
-
- 30 May, 2020 1 commit
-
-
peterjc123 authored
* Fix binary builds with CUDA 9.2 on Windows * Remove packages according to VC_YEAR
-
- 29 May, 2020 1 commit
-
-
peterjc123 authored
-
- 12 May, 2020 2 commits
-
-
Eli Uriegas authored
-
Eli Uriegas authored
-
- 19 Mar, 2020 1 commit
-
-
Eli Uriegas authored
* ci: Add cu102 to CI and packaging Adds cu102 to our testing matrix as well as change the default manywheel version to be cu102. Also adds a function to get manylinux images instead of it being a conditional block. Signed-off-by:
-
